https://youtu.be/X-iSQQgOd1A

Creating Agents with Tunable Behaviours using Multi-Objective Deep Reinforcement Learning

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Reinforcement learning for combinatorial optimization over directed graphs

Fast Kolmogorov-Arnold Network in JAX, initial experiments

Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments

Standard interface for entity based reinforcement learning environments.

Going on an RL Journey from DQN to Bigger, Better, Faster

Lightweight multi-agent gridworld Gym environment

Kolmogorov Arnold Networks

Bot Framework provides the most comprehensive experience for building conversation applications.

A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)

Godot implementation of important RL algorithms with a gridworld environment for visualization

Intrinsic Motivation from Artificial Intelligence Feedback

Reinforcement Learning paper review study

Software for modeling circuit theory-based connectivity

♟️ Vectorized RL game environments in JAX

2D, 3D & VR experiments and tutorials in Godot 3 & 4

A curated list of free/libre plugins, scripts and add-ons for Godot

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.

A reinforcement learning environment for the IGLU 2022 at NeurIPS

Code for the paper "Quantifying Transfer in Reinforcement Learning"

implementation of MADDPG using PettingZoo and PyTorch

implementation of MADDPG using PyTorch and multiagent-particle-envs

Automatically literature survey/review with GPT! An intelligent research assistant leveraging GPT-3.5 /GPT-4 to find, analyze, and rank relevant academic papers from Google Scholar based on user-pr…